Data set:
breast cancer
proteomics by mass spectrometry
four classes
Goal:
Explore the data to identify patterns
Create models to predict breast cancer class
11 May, 2020
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Introduction
Material and Methods
Material and Methods
Material and Methods
Material and Methods
Results — no definitive effects between expression landscapes and specific tumor subclasses
Results — breast cancer subtypes in the dataset are well represented
Results — breast cancer subtypes do not discriminate on age
Results — breast cancer and gender
Results — protein expresion heatmap
Results — dimentionality reduction
Results — K-means clustering
Results — ANN model’s structure
Results — ANN performance
Discussion
What could have been better
further work
The end
